Prevalence of eating disorders in patients with celiac disease: a comparative study with healthy individuals.

INTRODUCTION: Celiac disease is a chronic immune-mediated disease, which is triggered and maintained by gluten in genetically susceptible individuals. Eating disorders are a persistent disturbance in eating-related behavior that results in altered food consumption or absorption and that significantly impairs physical health or psychosocial functioning. OBJECTIVE: This study aimed at evaluating the prevalence of eating disorders in Brazilian celiac patients. METHODS: This cross-sectional study was conducted as online survey including adult celiac patients who agreed to participate and a paired control health group. Questionnaires included questions about socioeconomic data and celiac disease diagnosis, and a validated questionnaire about eating disorders (Eating Attitudes Test-26. RESULTS: In total, 741 responses were studied, with 484 from the celiac group and 257 from the control group. No significant difference was observed between the number of individuals at risk of developing eating disorder (p=0.39). Both groups showed a high risk of developing eating disorders (34.2% in the celiac group and 37.7% in the control group). Furthermore, among patients with celiac disease, we found higher scores on the Eating Attitudes Test-26 in those with depression (p=0.0013), those with living difficulty due to the disease (p<0.0001), and those dissatisfied with their weight (p<0.0001). CONCLUSION: In the sample analyzed, no greater risk of eating disorders was identified in patients with celiac disease compared with the control group. However, in general, about one-third of the respondents in each group had scores associated with the risk of eating disorders. Among celiac patients, depression, difficulties living with celiac disease, and being unhappy with one's weight were associated with higher risk for eating disorder.

Estimates and determinants of SARS-CoV-2 seroprevalence and infection fatality ratio using latent class analysis: the population-based Tirschenreuth study in the hardest-hit German county in spring 2020

SARS-CoV-2 infection fatality ratios (IFR) remain controversially discussed with implications for political measures, but the number of registered infections depends on testing strategies and deduced case fatality ratios (CFR) are poor proxies for IFR. The German county of Tirschenreuth suffered a severe SARS-CoV-2 outbreak in spring 2020 with particularly high CFR. To estimate seroprevalence, dark figure, and IFR for the Tirschenreuth population aged [≥]14 years in June/July 2020 with misclassification error control, we conducted a population-based study, including home visits for elderly, and analyzed 4203 participants for SARS-CoV-2 antibodies via three antibody tests (64% of our random sample). Latent class analysis yielded 8.6% standardized county-wide seroprevalence, dark figure factor 5.0, and 2.5% overall IFR. Seroprevalence was two-fold higher among medical workers and one third among current smokers with similar proportions of registered infections. While seroprevalence did not show an age-trend, the dark figure was 12.2 in the young versus 1.7 for [≥]85-year-old. Age-specific IFRs were <0.5% below 60 years of age, 1.0% for age 60-69, 13.2% for age 70+, confirming a previously reported age-model for IFR. Senior care homes accounted for 45% of COVID-19-related deaths, reflected by an IFR of 7.5% among individuals aged 70+ and an overall IFR of 1.4% when excluding senior care home residents from our computation. Our data underscore senior care home infections as key determinant of IFR additionally to age, insufficient targeted testing in the young, and the need for further investigations on behavioral or molecular causes of the fewer infections among current smokers.

Rapid response flow cytometric assay for the detection of antibody responses to SARS-CoV-2

SARS-CoV-2 has emerged as a previously unknown zoonotic coronavirus that spread worldwide causing a serious pandemic. While reliable nucleic acid-based diagnostic assays were rapidly available, there exists only a limited number of validated serological assays. Here, we evaluated a novel flow cytometric approach based on antigen-expressing HEK 293T cells to assess spike-specific IgG and IgM antibody responses. Analyses of 201 pre-COVID-19 sera proved a high assay specificity in comparison to commercially available CLIA and ELISA systems, while also revealing the highest sensitivity in specimens from PCR-confirmed SARS-CoV-2 infected patients. Additionally, a soluble Angiotensin-Converting-Enzyme 2 (ACE-2) variant was established as external standard to quantify spike-specific antibody responses on different assay platforms. In conclusion, our newly established flow cytometric assay allows sensitive and quantitative detection of SARS-CoV-2-specific antibodies, which can be easily adopted in different laboratories and does not rely on external supply of assay kits.